upload requirements.txt

app.py

@@ -12,7 +12,7 @@ pipe = StableDiffusion3InstructPix2PixPipeline.from_pretrained("BleachNick/SD3_U
 pipe = pipe.to("cuda")
 
 
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=120)
 def generate(image_mask, prompt, num_inference_steps=50, image_guidance_scale=1.6, guidance_scale=7.5, seed=255):
     def is_blank_mask(mask_img):
         mask_array = np.array(mask_img.convert('L'))  # Convert to luminance to simplify the check